Why OpenFunnel?
Instantly surface in-market accounts, understand why they matter, and zero-in on their high-intent prospects - powered by custom reasoning signals.
When OpenFunnel Is Right For You
✅ Perfect if you:
- Your GTM requires custom signals and needs research
- Quality over Quantity is important for your business
- Relevant outreach matters more than personalization
- Static Databases don’t contain enough nuances about your customer
❌ Not ideal if you:
- Use spray-and-pray tactics with basic filters like “AI companies”
- Only optimize for outbound volume metrics
- Don’t have clear custom signals for your market
Not relying on static databases
Most sales intelligence, research, and lead-gen tools are essentially wrappers around static databases like Apollo, LinkedIn Sales Nav, BuiltWith, and Bombora.
They might help you find:
“VP of Engineering in 51–200 company size who use Kubernetes”
But that’s still spray and pray—because:
- Just having a tech stack doesn’t mean the company is in-market
- There’s no context or timing—existence ≠ intent
- Your competitors are using the exact same data
- No way to prioritize and focus on accounts
🔍 What OpenFunnel lets you do instead
“Show me ICP companies investing in scaling Kubernetes clusters on AWS, and get me the VP of Engineering in that team.”
This isn’t just filtering.
This is real-time research, powered by agentic workflows and reasoning models that extract active buying signals—not stale metadata.
That’s the OpenFunnel difference.
Activity-First Search & Discovery
Yesterday’s workflow: slap on a couple of filters (“SaaS, 51-200, uses AWS”) and blast the same stale list everyone else found in five minutes.
Today’s workflow: ask OpenFunnel, “Which fintechs just posted their first ‘Head of SOC 2’ role this week and whose CTO is begging for compliance help on LinkedIn?”—and grab the account (plus decision-makers) while competitors are still stuck on funding lists.
Why activity-first wins
| ❌ Generic Signals everyone has | ✅ What OpenFunnel can surface |
|---|---|
| “Uses AWS” | VP Infra and his team just liked your competitors post and posted a “Senior Spot-Instance Wrangler” role |
| Single posting: “Security Engineer” | First-ever Head of SOC role + CTO’s LinkedIn interaction with a competitor |
| Single posting: “SDR” | 3 new Enterprise AE roles and a CRO hire from Databricks → gearing for six-figure deals |
| “Funded in last 12 mo” | Raised Series A and now looking to scale AI engineering team |
| No conference data | 3+ engineers registered for KubeCon → Use this as a hook to outreach |
Result: Teams using these hooks in outreach message saw 2.8× higher positive-reply rates than Generic Signals
What makes it possible
- Job-posting fire-hose → responsibilities reveal roadmap secrets.
- LinkedIn engagement → real-time intent (who’s liking, commenting, changing titles).
- Competitor mentions & employee moves → live churn and switch signals.
- Conference rosters → public CSVs scraped daily for fresh spending clues.
- Website-copy diffs (browser agents) → spot “beta → GA” or “free → paid” overnight.
Ready to ditch the guesswork?
If you’re still sifting through “recently funded and growing” lists, you’re late.
Start listening for the fire alarm—before your competitors even smell the smoke.
What makes it possible
- Job-posting fire-hose → responsibilities reveal roadmap secrets.
- LinkedIn engagement Agents → real-time intent when aggregated at account level (ICPs at target companies liking, commenting, changing titles).
- Agentic Listening Agents → Listen to every relevant conversation and announcements on social channels like Linkedin, Twitter and Google
- Browser Agent → Get a list of any companies and prospects by automating any browser based workflow in natural language
Ready to ditch the guesswork?
If you’re still sifting through “recently funded and growing” lists, you’re late and generic.
Start listening for inferrable high intent signals.